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Monetate

Monetate
Formerly Kibo Personalization, powered by Monetate & Certona

Overview

What is Monetate?

Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate…

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Recent Reviews

Ease of use

7 out of 10
September 05, 2023
Incentivized
I think Monetate is very useful for testing. No issues with the system. Clear and easy to use with support and manuals
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Quick overview

8 out of 10
April 18, 2023
Incentivized
We've been able to use Monetate to support personalisation across different customer segments on site, as well as run a number of AB tests …
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Monetate Review

10 out of 10
February 28, 2023
Incentivized
We use Monetate to create different user journeys for different customers we target. Doing A/B testing we get to see which experience will …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Verified User
Account Manager in Information Technology
Retail Company, 501-1000 employees
Verified User
Employee in Other
Consumer Goods Company, 201-500 employees
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Pricing

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Monetate

Monetate

N/A
Unavailable

What is Monetate?

Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in…

Entry-level set up fee?

  • Setup fee optional

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Monetate?

Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate services Adidas, Lufthansa, Office Depot, Reebok, Wolseley, and other companies.

Monetate is open, and designed to work across the user's marketing stack. It is real-time too, with machine learning capabilities to help deliver 1-to-1 personalization, through to testing & experimentation, and product recommendations at scale.

In October 2019 Monetate and Certona personalization technologies were acquired by Kibo Software. Kibo Personalization included capabilites from these solutions. Monetate was spun off from Kibo in October of 2022.

Monetate Features

  • Supported: Testing
  • Supported: Segmentation
  • Supported: Machine Learning
  • Supported: Data Integration
  • Supported: APIs

Monetate Integrations

Monetate Competitors

Monetate Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported LanguagesEnglish

Monetate Downloadables

Frequently Asked Questions

Monetate (formerly Kibo Personalization, powered by Monetate and Certona) is an ecommerce personalization software for consumer-facing brands. Monetate enables brands to create individualized experiences for site visitors, with the goal of improving engagement and business performance. Founded in 2008, Monetate services Adidas, Lufthansa, Office Depot, Reebok, Wolseley, and other companies.

Adobe Target, Optimizely Web Experimentation, and Dynamic Yield are common alternatives for Monetate.

Reviewers rate Implementation Rating highest, with a score of 9.1.

The most common users of Monetate are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(159)

Attribute Ratings

Reviews

(1-20 of 20)
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December 21, 2018

Better than the Other Guys!

Verified User
Analyst in Marketing
Retail Company, 51-200 employees
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
6
IFEs are difficult because the unique identifier on the site needs to be consistent. Our site gives each user a different unique identifier until they sign in, making it nearly impossible to target based on their identifier. Monetate should advise on a best practice for identifiers.
January 18, 2018

Great testing platform

Verified User
Employee in Product Management
Retail Company, 201-500 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
9
We love the flexibility of majority fit capability. It has allowed us to test as frequently as we like and provide us with data we can use going forward with other testing ideas. I personally do not have experience using the individual fit capability so I can not speak effectively to that.
September 18, 2017

Room for Improvement

Verified User
Strategist in Other
Apparel & Fashion Company, 201-500 employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
4
We have run a few tests using IFE. The reporting aspect makes IFE difficult to explain to the business the benefit of the experience. There is not a clear way to show learnings or ROI in a tangible way. The Majority Fit experiences we've run seemed to have deemed a winner early on and the test was later run as a split test that showed a different winner. This made us not put too much faith in the majority fit experiences.
August 09, 2017

Monetate is the best in the industry

Verified User
Project Manager in Marketing
Apparel & Fashion Company, 1001-5000 employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
9
We are still in entry stages with machine learning, and are seeing success. With Majority Fit, these experiences reduce error and require less output from the business team as the campaign has a goal to optimize to the better offering. It's less risk for us and gets us answers in a shorter period of time, which is great.
August 04, 2017

Very Solid Testing Platform

Verified User
Account Manager in Sales
Apparel & Fashion Company, 11-50 employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
7
Majority fit works very well. We love not having to worry that the main result of testing will be to show the "loser" too many times. This lets us test as frequently as we want. We don't have access to the individual fit testing, so I can't review that except to say that I think that it should be included in the regular testing platform and not require an additional purchase.
July 28, 2017

Great testing platform

Verified User
Professional in Marketing
Arts and Crafts Company, 51-200 employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
10
Personally I think it's an amazing feature to have the algorithm picking up the best split and serving more traffic. That makes a difference and helps mitigating the possible losses of weak splits during the experience time. It's much better than just adjusting the experience to the winning scenario after the fact. Can't tell much about the individual fit experiences as we didn't use this feature (yet).
July 25, 2017

Great Platform & Easy to Use!

Verified User
Employee in Marketing
Retail Company, 1001-5000 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
8
Majority Fit is a great way to test something and then have the winner become a higher percentage of the experiment. The only thing I would change with this is the reporting. I find it a little confusing to read the analytics and see how it has changed over time.
July 25, 2017

A Great Tool for Business Users When IT is Slow

Verified User
Manager in Marketing
Retail Company, 1001-5000 employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Machine Learning Capabilities
I'm not sure I have enough experience with this to respond, or I don't know the terminology being used. When we've done dynamic tests it's been nice that Monetate makes decisions on A/B test populations based on the real-time results so far.
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